What is data governance?
Data governance is the process of managing the data’s usability, security, availability, and quality within an organization using internally set and enforced rules and policies.
Why does data governance matter?
Data governance is a must for any organization that seeks to use their data for analysis. Data governance creates an environment where data can thrive as a source of useful insight that enables the organization to prosper. Without it, data may fail to meet the quality standards necessary for usable insight extraction or be exposed to security threats that compromise its integrity thereby putting the organization at the risk of being sued.
Data governance provides consistency across all the organization’s businesses thereby making efficient data integration possible. For instance, a supplier’s name may be specified differently in the procurement’s office and the factory’s database. During the integration of data, this may pose a challenge for the analyst who has never interacted with the supplier. Data governance ensures that there is uniformity and that the analyst doesn’t need to consult the departments generating the data in order to gain an understanding of the data.
Data governance goes beyond insight extraction and security provision by governing who within the organization can access the data and how they can access it. It is therefore important to understand what data each individual member of staff needs before setting the rules of policies of accessing the data internally.
Data Governance Goals
Benefits of Data Governance
Data that has integrity issues can not be relied on by the management for profitable insight. Therefore, any organization that is seeking to extract value from their data must first come up with a data governance system that touches on all the data they wish to use and protect. Every organization has different needs for its data and thus the need to come up with rules and policies that are customized to an organization’s needs.
Data Governance Strategy Components
Before embarking on the specific details of a data governance policy, the team involved has to first come up with a mission statement, the objectives, the evaluation metrics, and identify the people responsible for various data governance aspects. This should be shared with all the people involved so as to have a unified understanding of how the organization will treat its data.
Good data governance should include the following:
DQLabs, an enterprise data governance platform provides a comprehensive framework that is modern and will help an organization add value to all their data as well as remain compliant. This makes it easy for an organization to set up strong data governance fast with the comfort that they are compliant with the jurisdiction’s laws. DQLabs system will help in supporting the creation of a catalog, development of policies, workflow management, and process management.
Data Governance Implementation
Implementation of data governance within an organization requires a team from different areas of the organization that understands the importance of setting the right rules and policies. The diversity of the team ensures that the policy includes the needs of as many departments as possible and thus the possibility of some employees’ data needs being ignored is reduced significantly. The inclusion also makes it easier for all members of staff to understand the policy and adopt it with ease. After coming up with the policy, it is important to train all the users of data who will be impacted to make it easier for the organization to fully implement it.
Data governance sets the rules to be followed throughout the organization while interacting with the data. Strong data governance ensures that the data is secure in storage when it’s being accessed and high quality when being created. With strict data regulations being introduced in different jurisdictions, data governance ensures that the organization remains compliant with the laws in all the jurisdictions it operates it. Data governance matters to an organization that intends to use their data for analysis and remain compliant because it ensures consistency, integrity, and security of the data. By improving data quality and proper data use, it increases efficiency within the organization and saves a lot of time for the data users. To successfully implement it in an organization, the data users should be trained on the policies of data governance to ensure they understand what will be required of them. DQLabs’ data governance tool makes it easier for an organization to set up strong data governance by providing a framework that is comprehensive and is guaranteed to increase the organization’s data value as well as ensure compliance.